{"title":"An $O(\\sqrt{k})$-approximation algorithm for minimum power $k$ edge disjoint $st$ -paths","authors":"Zeev Nutov","doi":"10.48550/arXiv.2208.09373","DOIUrl":null,"url":null,"abstract":"In minimum power network design problems we are given an undirected graph $G=(V,E)$ with edge costs $\\{c_e:e \\in E\\}$. The goal is to find an edge set $F\\subseteq E$ that satisfies a prescribed property of minimum power $p_c(F)=\\sum_{v \\in V} \\max \\{c_e: e \\in F \\mbox{ is incident to } v\\}$. In the Min-Power $k$ Edge Disjoint $st$-Paths problem $F$ should contains $k$ edge disjoint $st$-paths. The problem admits a $k$-approximation algorithm, and it was an open question whether it admits approximation ratio sublinear in $k$ even for unit costs. We give a $4\\sqrt{2k}$-approximation algorithm for general costs.","PeriodicalId":436783,"journal":{"name":"Conference on Computability in Europe","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Computability in Europe","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2208.09373","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In minimum power network design problems we are given an undirected graph $G=(V,E)$ with edge costs $\{c_e:e \in E\}$. The goal is to find an edge set $F\subseteq E$ that satisfies a prescribed property of minimum power $p_c(F)=\sum_{v \in V} \max \{c_e: e \in F \mbox{ is incident to } v\}$. In the Min-Power $k$ Edge Disjoint $st$-Paths problem $F$ should contains $k$ edge disjoint $st$-paths. The problem admits a $k$-approximation algorithm, and it was an open question whether it admits approximation ratio sublinear in $k$ even for unit costs. We give a $4\sqrt{2k}$-approximation algorithm for general costs.
在最小电网设计问题中,我们给出了一个无向图$G=(V,E)$,其边缘代价为$\{c_e:e \in E\}$。目标是找到一个边集$F\subseteq E$,它满足最小幂$p_c(F)=\sum_{v \in V} \max \{c_e: e \in F \mbox{ is incident to } v\}$的规定性质。在最小功率$k$边不相交$st$ -路径问题中$F$应该包含$k$边不相交$st$ -路径。这个问题承认$k$近似算法,它是否承认近似比在$k$的次线性是一个开放的问题,即使是单位成本。我们给出了一般成本的$4\sqrt{2k}$ -近似算法。